The paper describes a microprocessor-based lineariser module which automatically computes the coefficients, offset, and gain settings required for an integral wideband polynomial lineariser. An iterative technique is used whereby the aggregate residual-squared error between the normalised input data and the generated 4th-order polynomial converges to a minimum. Weighting factors are included to give a curve-fitting accuracy approximating to a constant percentage of reading.~r s~b~~s used air rth coefficient in the polynomial approximation A 1 ~ ) temperature-dependent constant in the heat-transfer law B ( ) constant in the heat-transfer law E_4 bridge output (volts) E~,~,~,~ root-mean-square error f ( ) function to be approximated F ( ) generalised function gr rth value for the gradient G ( ) generalised function H~ rate of heat transfer to the fluid (watts) i an index j an index c an index n degree of the polynomial N data point number r an index R () residual error Rf wire resistance at fluid temperature (S2) R~, wire resistance at operating temperature (E2)
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